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This demo paper introduces Trajectools, an open-source plugin enabling no-code movement data analytics by integrating the MovingPandas library with QGIS. While it touches on human-computer interaction and database management, its core contribution lies in advancing accessible tools for processing trajectory data, a key application area within machine learning and spatial analysis.
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Trajectools Demo: Towards No-Code Solutions for Movement Data Analytics

arXiv1 min read

arXiv:2610.06858v1 Announce Type: cross Abstract: This demo paper presents the conceptual foundations and the first steps towards implementation of a novel no-code solution for movement data analytics based on the open-source Python library MovingPandas and the open-source geographic information system QGIS. The resulting Trajectools plugin is available open-source at https://github.com/movingpandas/qgis-processing-trajectory.

Abstract:This demo paper presents the conceptual foundations and the first steps towards implementation of a novel no-code solution for movement data analytics based on the open-source Python library MovingPandas and the open-source geographic information system QGIS. The resulting Trajectools plugin is available open-source at this https URL.

Databases (cs.DB); Human-Computer Interaction (cs.HC); Machine Learning (cs.LG)

arXiv:2610.06858 [cs.DB]

(or arXiv:2610.06858v1 [cs.DB] for this version)

https://doi.org/10.48550/arXiv.2610.06858 Focus to learn more arXiv-issued DOI via DataCite

https://doi.org/10.1109/MDM61037.2024.00048 Focus to learn more DOI(s) linking to related resources

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Full text under the publisher's open licence · 154 words

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